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About
Execute and contribute to the design of observational studies using claims data (e.g., case-control matching, difference-in-differences, propensity score methods)
Conduct analyses to measure the cost and outcomes impact of Solera's programs
Investigate product and engagement data to identify patterns, drop-off points, and opportunities to improve outcomes
Build and maintain analysis and modeling pipelines in Python and Spark for feature engineering, cohort construction, and outcomes measurement
Contribute to the team's ML products (e.g., risk models, patient matching) through feature development, evaluation, and iteration
Collaborate cross-functionally with health economics, clinical, product, sales, and engineering teams to interpret results and deliver actionable insights
Document methodologies and findings clearly enough to withstand external scrutiny
Work with cloud data infrastructure (BigQuery, GCS, Dataproc) to query, transform, and analyze large datasets
Education & Experience
Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Mathematics, or a related quantitative field (required)
Master's degree in Biostatistics, Statistics, or a related discipline strongly preferred — or a CS/Data Science degree with significant coursework in statistics, causal inference, and study design
1-3 years of professional experience in data science, statistical analysis, or quantitative research (graduate research, thesis work, or internships count)
Strong foundation in statistical methods: regression, hypothesis testing, study design
Familiarity with causal inference concepts and when they apply — through coursework, research, or professional experience
Ability to assess data quality, identify inconsistencies, and understand how upstream issues affect downstream results
Python and SQL proficiency — you will build and maintain analysis pipelines, not just run ad-hoc queries. We will train you on our stack (PySpark, BigQuery, GCS), but you should be comfortable writing and reviewing code in a collaborative engineering environment.
Preferred Qualifications
Experience working with messy, real-world datasets (healthcare claims, EHR, insurance, government/public-use data, etc.)
Familiarity with healthcare data concepts (diagnosis codes, episode grouping, cost metrics, FHIR)
Experience with machine learning (scikit-learn, PyTorch, Spark ML, or similar)
Experience with survival analysis or longitudinal data methods
Exposure to health economics, health services research, or outcomes research — through coursework, research, or industry experience
Comfort using AI tools to improve productivity (e.g., Claude, Cursor)
Core Attributes
Attention to detail: You validate results against expectations and don't hand off work you haven't double-checked.
Eagerness to learn: You seek out what you don't know rather than waiting to be taught.
Reliability: You follow through on commitments and communicate early when things aren't going as planned.
Curiosity: You want to understand the problem, not just complete the task. You ask why, dig into unexpected results, and aren't satisfied with an answer that doesn't make sense.
Communication: You can explain your methodology and results clearly to both technical and non-technical audiences.
Location
This is a remote position based in the United States
What We Offer
Competitive salary
Comprehensive medical, dental, and vision coverage starting Day One
Flexible time off beyond standard company holidays
401(k) with company match and financial wellness resources
Generous parental leave and adoption assistance
Remote-first work culture with team events and community building
Phone stipend and wellness perks (Fitbit, fitness/mental health app access)
Work Authorization Applicants must be currently authorized to work in the United States on a full-time basis. Solera Health is not able to sponsor or transfer employment visas for this position.
Disclaimer: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. Solera Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Solera Health complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Languages
- English
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